NumPy

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python (Programming Language) TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.